Epistemic Landscapes and the Division of Cognitive Labor.
Because contemporary scientific research is conducted by groups of scientists, understanding scientific progress requires understanding this division of cognitive labor. We present a novel agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic...
| Publicado en: | Philosophy of Science Vol. 76; no. 2; pp. 225 - 253 |
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| Autores principales: | , |
| Formato: | Artículo |
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Cambridge University Press
Apr2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=52368195&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 52368195 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Apr2009 vid: 76 iid: 2 pid: 15979 pub: Cambridge University Press artinfo: ui: 52368195 10.1086/644786 ppf: 225 ppct: 28 formats: fmt: @attributes: type: P size: 459KB tig: atl: Epistemic Landscapes and the Division of Cognitive Labor. aug: au: Weisberg, Michael Muldoon, Ryan affil: Department of Philosophy, University of Pennsylvania, 433 Cohen Hall, Philadelphia, PA 19104 Joseph L. Rotman Institute of Science and Values, Department of Philosophy, University of Western Ontario, London, Ontario, N6A 3K7 Canada su: Philosophy of science Scientists Research methodology Theory of knowledge Genetic polymorphisms sug: subj: Philosophy of science Scientists Research methodology Theory of knowledge Genetic polymorphisms ab: Because contemporary scientific research is conducted by groups of scientists, understanding scientific progress requires understanding this division of cognitive labor. We present a novel agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic landscape. Scientists aim to find the most epistemically significant research approaches. We consider three different search strategies that scientists can adopt for exploring the landscape. In the first, scientists work alone and do not let the discoveries of the community influence their actions. This is compared with two social research strategies: Followers are biased toward what others have already discovered, and we find that pure populations of these scientists do less well than scientists acting independently. However, pure populations of mavericks, who try to avoid research approaches that have already been taken, vastly outperform the other strategies. Finally, we show that, in mixed populations, mavericks stimulate followers to greater levels of epistemic production, making polymorphic populations of mavericks and followers ideal in many research domains. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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